The Journey To A Data-Driven Enterprise

Data is the new gold, and like gold, it has to be carefully mined and transformed to uncover its true value - data insights. But not all data is of equal value, and it can be challenging to separate the gold from the dust. For businesses, becoming a data-driven enterprise involves overcoming several barriers, such as disparate data systems and large volumes of data, choosing the right technology for processing data quickly, and developing a technology framework that supports the next wave of technology for AI and ML.

Barriers to data transformation

Legacy systems, faraway data centers or clouds, and data coming from various places and devices on the edge can impede the transformation of data into a valuable asset. It's also crucial to differentiate between operational and transactional data since operational data - such as customer browsing behavior and preferences - provides insights into customer behavior, predicting future trends, and staying ahead of the competition.

The time value of data is milliseconds

The time value of data is especially crucial in situations like autonomous vehicles, banking, and logistics where the ability to process data in real-time can mean the difference between life and death, preventing fraudulent activities, optimizing delivery routes, monitoring the temperature, and humidity levels of goods during transportation.

Accelerate insights with a hyper distributed cloud

To become a data-driven enterprise, businesses need a hyper distributed cloud with edge computing options to process and analyze data where it is generated, reducing latency and improving response times. That's where Macrometa comes in. Macrometa is a hyper distributed cloud platform that collects, processes, and analyzes real-time data from various sources, including legacy systems, IoT devices, mobile devices, and social media. With Macrometa, businesses can build APIs in minutes to connect data from multiple systems and accelerate insights.

Start your data-driven journey today

The journey to becoming a data-driven enterprise involves overcoming several barriers, differentiating between operational and transactional data, and utilizing edge computing options. Macrometa's hyper distributed cloud platform can help businesses collect, process, and analyze data from various sources to make informed decisions in real-time.

To take the first step toward data-driven success, download the 451 Research Business Impact Brief: Data-Driven at the Edge: Unlocking Business Insights today or chat with a Macrometa solution expert.

Photo by Dennis Kummer on Unsplash